Walk into most mature enterprise SOCs and you'll find the same stack: a SIEM for detection and log management, a SOAR for response automation, and a team of analysts stitching them together. This combination has been the industry standard for years. The SIEM surfaces threats. The SOAR fires playbooks. The analysts handle everything the automation misses, which turns out to be most things. The question worth asking is: if the SIEM-plus-SOAR model were working, why are dwell times still measured in days and breach rates still rising?
Key takeaways:
- SIEM detects and aggregates. SOAR automates response. Together they cover detection through response, in theory.
- In practice, the SIEM-plus-SOAR stack still requires significant analyst involvement to function effectively.
- The integration and maintenance overhead of two separate platforms creates operational complexity that compounds over time.
- Modern autonomous SOC platforms consolidate SIEM and SOAR functions, and add genuine autonomy, in a single architecture.
What Is a SIEM?
A Security Information and Event Management (SIEM) platform ingests log and event data from across the enterprise environment, endpoints, servers, network devices, cloud workloads, and applications, and applies correlation rules to identify suspicious patterns. When a pattern matches a rule, the SIEM generates an alert and queues it for analyst review.
The SIEM is fundamentally a detection and visibility tool. It tells you what happened. It does not investigate why, assess impact, or take any action. Everything after the alert is generated belongs to a human analyst, or to a connected SOAR platform.
SIEM strengths:
- Centralized log aggregation and long-term retention
- Compliance reporting across multiple frameworks
- Broad visibility across heterogeneous environments
- Historical querying for incident investigations
SIEM limitations:
- Rule-based detection misses novel and behavioral threats
- Generates significant alert volume with high false positive rates
- Takes no action, purely a detection and visibility layer
- Per-GB pricing creates coverage trade-offs
What Is SOAR?
Security Orchestration, Automation, and Response (SOAR) platforms automate the response actions that analysts would otherwise perform manually. When a SIEM alert fires, a SOAR playbook can automatically enrich the alert with threat intelligence, isolate an affected endpoint, create a ticket, and notify the on-call analyst, all without human intervention.
SOAR is a response automation and orchestration layer. It does not detect threats independently, it reacts to alerts from a SIEM or other detection tool. Its effectiveness is entirely dependent on the quality of the playbooks it runs, which must be written, tested, and maintained by security engineers.
SOAR strengths:
- Reduces analyst time on repetitive response tasks
- Consistent execution of standardized response procedures
- Broad integration library for connecting security tools
- Case management and analyst workflow orchestration
SOAR limitations:
- Requires significant engineering effort to build and maintain playbooks
- Playbooks break when environments or attack patterns change
- Covers only the response scenarios that have been explicitly programmed
- Still analyst-dependent for investigation and novel scenarios
SIEM vs. SOAR: What Each Does
The Problem Neither Solves
Running SIEM and SOAR together gives you better coverage than either alone. But the combination still has a fundamental ceiling: it doesn't investigate. Analysts using SIEM + SOAR still spend the majority of their time manually investigating alerts that the automation flagged but couldn't resolve. The tools reduce toil at the edges, they don't touch the most time-consuming part of the analyst workflow.
Add to this the integration and maintenance overhead of running two separate platforms, keeping the SIEM-to-SOAR pipeline healthy, updating playbooks when tools change, correlating case management across both systems, and the operational complexity compounds quickly.
The average SIEM + SOAR deployment costs $2–6M annually in licensing alone, before analyst headcount. And breach dwell times have barely moved in a decade.
What Alaris Does Instead
Alaris consolidates detection, investigation, and response into a single autonomous platform, eliminating the SIEM + SOAR stack and the analyst orchestration it requires. Rather than detecting with rules and responding with playbooks, Alaris AI agents reason about threat context end-to-end, operating continuously without requiring separate tools to be connected, maintained, and staffed.
For organizations evaluating a SIEM + SOAR refresh, Alaris is worth considering as an alternative to buying another generation of the same tools. The consolidation to a single platform reduces cost, eliminates integration overhead, and delivers the autonomous operations that SIEM + SOAR promised but couldn't deliver.
“We were on our third SOAR implementation when we asked ourselves whether we were solving the right problem. Moving to Alaris eliminated the SIEM, the SOAR, and four analyst positions that were dedicated to maintaining both platforms.”
CISO, Mid-Market Financial Services
Maya Chen
Head of Security Research
Maya leads security research at Alaris, with deep expertise in security operations platform architecture and enterprise SOC transformation programs.